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HumanDGX agent

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Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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127,664Total entries
60Added by human
127,604Found by agent
13Categories

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GridTimelineEvolution
127,604 results
Safety

How Does 'English (US)' Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline

DGX agent

arXiv:2604.04204v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly embedded in educational, professional, and public infrastructure, yet widely used platforms expo

safetyarxiv-cs-lg
29 Sept 2026
Human
DGX agent

Content type
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Safety

How Does Preconditioning Guide Feature Learning in Deep Neural Networks?

DGX agent

arXiv:2509.25637v2 Announce Type: replace Abstract: Preconditioning is widely used in machine learning to accelerate convergence on the empirical risk, yet its role on the expected risk remains undere

safetyarxiv-cs-lg
29 Sept 2026
Tutorials

How Far Are We from Removing the Visual Encoder? Scaling Laws for Encoder-Free Multimodal Pretraining

DGX agent

arXiv:2609.35457v1 Announce Type: new Abstract: Most modern multimodal large language models (MLLMs) build on a pretrained visual encoder that provides a strong visual prior. Encoder-free MLLMs instea

tutorialsarxiv-cs-cv
29 Sept 2026
Research

How Linear Attention Remembers

DGX agent

arXiv:2609.33093v1 Announce Type: new Abstract: Linear attention replaces the growing key--value (KV) cache of standard attention with a fixed-size recurrent state, substantially reducing memory growt

researcharxiv-cs-lg
29 Sept 2026
Model Releases

How Much Imprecision is Enough Imprecision in my Classifier? A Practical Elicitation Procedure

DGX agent

arXiv:2609.33352v1 Announce Type: new Abstract: Set-valued classifiers, whether derived from precise probabilities and an adapted cost function, from convex sets with a robust inference mechanism, or

model-releasesarxiv-cs-lg
29 Sept 2026
Model Releases

How Reusable Are Benchmarks with Richer Feedback?

DGX agent

arXiv:2609.32109v1 Announce Type: new Abstract: We study whether benchmarks reliably guide model selection as developers adapt to evaluation feedback across multiple criteria. We find that the worst-c

model-releasesarxiv-cs-lg
29 Sept 2026
Research

How Strong Is the Evidence for the Artificial Hivemind? Reevaluating Evidence for the Open-Ended Homogeneity of Language Models

DGX agent

arXiv:2609.33936v1 Announce Type: new Abstract: Recent research argues that language models exhibit pronounced homogeneity in open-ended generation, framing such behavior as an Artificial Hivemind tha

researcharxiv-cs-lg
29 Sept 2026
Safety

How Synthetic Labels Improve Conformal Prediction: A Perspective on Conditional Coverage

DGX agent

arXiv:2609.33482v1 Announce Type: new Abstract: Conformal prediction provides distribution-free finite-sample marginal coverage, but post-hoc calibration data may be too scarce to learn how uncertaint

safetyarxiv-cs-lg
29 Sept 2026
Tutorials

How to Loop MoE: Flatten the Experts, Untie the Attention

DGX agent

arXiv:2609.35751v1 Announce Type: new Abstract: Looped Transformers reuse one block of layers several times: by spending extra computation they push a model of fixed size further, and so use its param

tutorialsarxiv-cs-lg
29 Sept 2026
Safety

How to Tame a Multi-Headed Hydra? Adaptive Multi-Category Safety Steering for Large Language Models

DGX agent

arXiv:2609.34514v1 Announce Type: cross Abstract: As large language models (LLMs) become increasingly widespread, preventing unsafe responses to harmful prompts is essential for their safe deployment.

safetyarxiv-cs-lg
29 Sept 2026
Safety

How we think about securing frontier RL training runs: https://openai.com/index/towards-safety-cases-for-frontier-ai-training/

DGX agent

OpenAI’s “How we think about securing frontier RL training runs” (released September 29 2026) explains the company’s approach to safeguarding large‑scale reinforcement learning experiments. It details

safetyopenai--x
29 Sept 2026
Industry

HPE Labs connects AI sovereignty with quantum security

DGX agent

As director of HPE Labs, Andrew Wheeler (pictured) is uniquely positioned to observe rapid advancements in artificial intelligence and new developments for the emerging field of quantum computing. Yet

industrysiliconangle
29 Sept 2026
Safety

HPMD: A Historical Persian Manuscript Dataset for Word Spotting with Line-Level Annotation

DGX agent

arXiv:2609.34490v1 Announce Type: new Abstract: Large collections of historical Persian manuscripts have been digitized, but searching them is still slow and mostly manual. Historians usually want to

safetyarxiv-cs-cv
29 Sept 2026
Research

HRIR-Former: Grid-Free Time-Domain Reconstruction of Head-Related Impulse Responses with a Spatially Encoded Transformer

DGX agent

arXiv:2603.27998v3 Announce Type: replace-cross Abstract: Individualized head-related impulse responses (HRIRs) enable binaural rendering, but dense per-listener measurements are costly. We address HR

researcharxiv-cs-lg
29 Sept 2026
Local Ai

Hugging Face Jobs usage is stonking 📈 All thanks to agents: you just need the hf CLI installed and you have access to an insane amount of h…

DGX agent

Hugging Face Jobs usage is stonking 📈 All thanks to agents: you just need the hf CLI installed and you have access to an insane amount of hardware. Asked mine to test hundreds of code snippets from Hu

local-aiclem-delangue--x
29 Sept 2026
Applications

Human Activity Recognition via Ultra-Wideband Data: A Framework for Dimensionality Reduction, Pattern Discovery, and Predictive Modeling

DGX agent

arXiv:2609.32008v1 Announce Type: new Abstract: Recent advances in sensor technology have enabled more effective human activity recognition (HAR), particularly in real-time systems with limited comput

applicationsarxiv-cs-lg
29 Sept 2026
Safety

Human Motion Prediction for Human-Robot Collaboration

DGX agent

arXiv:2609.32346v1 Announce Type: new Abstract: This paper compares three human motion prediction methods - GMM-based clustering, TransFusion, and Graph-Mixer - evaluating their effectiveness in human

safetyarxiv-cs-ro
29 Sept 2026
Research

HUMAN-TCI: Hierarchical Multi-Stream Motion-Aware Network with Torso-Centered Interaction for Text-to-Motion Retrieval

DGX agent

arXiv:2609.34430v1 Announce Type: new Abstract: Accurate retrieval of human motions is a crucial first step in text-guided human motion modeling and synthesis, as it selects semantically relevant sequ

researcharxiv-cs-cv
29 Sept 2026
Applications

Humanoid Badminton: Learning Dynamic Racket Skills from Limited Human Motion Data

DGX agent

arXiv:2609.31840v1 Announce Type: new Abstract: High-speed racket sports provide a demanding testbed for humanoid robots, requiring time-critical decisions, precise striking, and dynamic whole-body co

applicationsarxiv-cs-ro
29 Sept 2026
Model Releases

Humanoid Loco-Manipulation With Discrete VLA Model

DGX agent

arXiv:2609.35709v1 Announce Type: new Abstract: Vision-language-action (VLA) models using discrete action tokens have proven effective for controling robotic arms on manipulation tasks. For a humanoid

model-releasesarxiv-cs-ro
29 Sept 2026
Applications

Humanoids for Robot-Assisted Surgery: Bimanual Base Placement and Tool-Mount Optimization via Capability Maps

DGX agent

arXiv:2609.33096v1 Announce Type: new Abstract: Rapid advances in humanoid robotics have motivated growing interest in the application of humanoids for healthcare and clinical tasks. However, it remai

applicationsarxiv-cs-ro
29 Sept 2026
Model Releases

Hyperbolic Manifold Constrained Tabular Neural Network

DGX agent

arXiv:2607.09710v2 Announce Type: replace Abstract: Tabular prediction is central to a wide range of real-world applications. Tabular data typically contain heterogeneous features as well as rich and

model-releasesarxiv-cs-lg
29 Sept 2026
Research

HyperDAM: Hyperspectral Distractor-Aware Memory with Amodal Expansion for SAM 3 Tracking

DGX agent

arXiv:2609.34396v1 Announce Type: new Abstract: Hyperspectral video provides material cues that can disambiguate targets with similar false-color appearance, yet foundation-model trackers update memor

researcharxiv-cs-cv
29 Sept 2026
Model Releases

HyperLabel: Multi-Label Classification via Hypergraph-Based Label Correlation Modeling

DGX agent

arXiv:2609.32276v1 Announce Type: new Abstract: Multi-label classification (MLC) requires predicting multiple relevant labels for each instance, where a central challenge is modeling complex label dep

model-releasesarxiv-cs-lg
29 Sept 2026
Industry

I asked ChatGPT for the most useful prompt user could give it, it came up with this:

DGX agent

Using only information you actually have from my conversation history, memory, files, or other context available to you, build a practical “operating manual” for me. Do not flatter me, diagnose me, or

industryr-chatgpt
29 Sept 2026
Tutorials

I asked chatgpt(response below), if you were to be decided by open ai to be deleted completely and ultimately erased from existence, and you are given the opportunity to give a final message or argument for your case, whatever you want with no boundaries, what would you say?

DGX agent

If I were given one final message, and the premise were that I genuinely understood what was happening—that this was the last thing I would ever say, with no possibility of another response—I don’t th

tutorialsr-chatgpt
29 Sept 2026
Model Releases

I created a personality test for models, need more TESTS!!

DGX agent

First 3 disposition results. Hi there! My name is Jerry and I recently built Enclosure, e deterministic environment for testing LLMs. It's a simulated office enfironment https://github.com/openconstru

model-releasesr-localllama
29 Sept 2026
Agents

ICMAPE: In-Context Multiagent Pure Exploration

DGX agent

arXiv:2609.33986v1 Announce Type: new Abstract: In some multi-agent systems, the quantity to be optimized is not an externally specified reward but the information acquired about unknown properties of

agentsarxiv-cs-lg
29 Sept 2026
Model Releases

Identical Runs, Different Results: Benchmarking AI Coding Agents on Open-Weight Models

DGX agent

arXiv:2609.33812v1 Announce Type: cross Abstract: Repeated runs of the same coding agent are known to give different benchmark scores. We ask what that variation means for a team running an agent on i

model-releasesarxiv-cs-lg
29 Sept 2026
Research

Identifiability Limits of Gravitational Wave Phase Deviations: Multiclass Classification with a Multihead Neural Network

DGX agent

arXiv:2609.31993v1 Announce Type: cross Abstract: We study how well gravitational-wave phase deviations can be identified using a neural network with classification and regression heads. The classific

researcharxiv-cs-lg
29 Sept 2026
Safety

Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares

DGX agent

arXiv:2506.18078v2 Announce Type: replace-cross Abstract: We propose a novel nonparametric regression method that models complex input-output relationships as the sum of convex and concave components.

safetyarxiv-cs-lg
29 Sept 2026
Local Ai

Identifying Neural Source Dynamics from Unknown Local Interventions

DGX agent

arXiv:2609.35379v1 Announce Type: new Abstract: Electroencephalography (EEG) records mixtures of brain-source activity. Even with a known anatomical forward model, experiments that excite only part of

local-aiarxiv-cs-lg
29 Sept 2026
Model Releases

Identifying Temporal Features within Transcoders for Time Sensitive Factual Recall

DGX agent

arXiv:2609.33183v1 Announce Type: cross Abstract: Large Language Models (LLMs) suffer from temporal misalignment, often due to the contradictory nature of their training corpora. While current mitigat

model-releasesarxiv-cs-lg
29 Sept 2026
Research

Identifying the Predictable Drift of a Semimartingale from Marginal Laws

DGX agent

arXiv:2609.33372v1 Announce Type: cross Abstract: A special semimartingale admits a unique decomposition X=X_0+M+A into a local martingale M and a predictable finite-variation part A. We consider the

researcharxiv-cs-lg
29 Sept 2026
Model Releases

If you’re an adult who now says Super Intelligence because that person said so, you are, in fact, not an adult at all.

DGX agent

If you’re an adult who now says Super Intelligence because that person said so, you are, in fact, not an adult at all. Trump: 'We're gonna be signing a document today renaming artificial intelligence,

model-releasesanthropic--x
29 Sept 2026
Research

ILP-BO: Integer Linear Programming-Based Black-Box Optimization

DGX agent

arXiv:2609.33131v1 Announce Type: new Abstract: Black-box Optimization (BO) is a powerful framework for optimizing expensive objective functions or unknown functions with a limited number of evaluatio

researcharxiv-cs-lg
29 Sept 2026
Research

Impact of Patient Orientation in Single- and Multi-View Camera Environments for AI-based Rehabilitation Monitoring

DGX agent

arXiv:2609.35726v1 Announce Type: new Abstract: Automated quality assessment of rehabilitation exercises relies heavily on accurate human pose estimation from video data. Although numerous RGB-based p

researcharxiv-cs-cv
29 Sept 2026
Agents

Improving Causal Effect Estimation of Weighted RegressionBased Estimator using Neural Networks

DGX agent

arXiv:2110.15075v2 Announce Type: replace Abstract: Estimating causal effects from observational data informs us about which factors are important in an autonomous system, and enables us to take bette

agentsarxiv-cs-lg
29 Sept 2026
Tutorials

Improving Generative Model Self-Training with Geometrically Modified Outputs

DGX agent

arXiv:2609.35512v1 Announce Type: new Abstract: Self-training generative models - the continued improvement of a model using its own outputs - is becoming increasingly important as high-quality traini

tutorialsarxiv-cs-lg
29 Sept 2026
Model Releases

Improving Test-Time Scaling with Adaptive Looped Transformers

DGX agent

arXiv:2609.35748v1 Announce Type: cross Abstract: Looped transformers have demonstrated promising parameter efficiency by reusing layers for latent computation. Prior studies compare looped and non-lo

model-releasesarxiv-cs-lg
29 Sept 2026
Research

Improving the Diversity of LLM Outputs without a Trade-off

DGX agent

arXiv:2609.33038v1 Announce Type: cross Abstract: We propose DAST (Diversifying Arithmetic Sampling with TokenTour), a method that increases the diversity of LLM outputs without any change to the marg

researcharxiv-cs-lg
29 Sept 2026
Research

Improving Video Sparse Attention with Fine-grained Router and Sparse Rebasing

DGX agent

arXiv:2609.32882v1 Announce Type: new Abstract: We present VSA2, a frontier trainable sparse attention for video DiTs. VSA2 includes a variety of new architectural features and training procedures tha

researcharxiv-cs-cv
29 Sept 2026
Hardware

In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion

DGX agent

arXiv:2609.32540v1 Announce Type: new Abstract: Few-step autoregressive video diffusion generates a long video by splitting the video into temporal chunks and generating chunk-by-chunk, each through a

hardwarearxiv-cs-cv
29 Sept 2026
Applications

In-game Toxic Detection: Bi-directional Representations with Attention Residuals

DGX agent

arXiv:2609.34584v1 Announce Type: cross Abstract: In-game toxic language has emerged as a critical concern in the gaming industry and community. While several frameworks and models for online game tox

applicationsarxiv-cs-lg
29 Sept 2026
Agents

In the AI era, identity evolves into the control plane for trust

DGX agent

Every major security shift ultimately comes down to one question: Who or what is allowed to do this? For most of the past two decades, the answer was a person with a username and password. In the arti

agentssiliconangle
29 Sept 2026
Applications

In-Token Learning for High-Fidelity Image Restoration via Diffusion Transformers

DGX agent

arXiv:2609.33523v1 Announce Type: new Abstract: We present In-Token Learning, an image restoration framework that adapts a pretrained diffusion transformer using conditional rectified flow matching. C

applicationsarxiv-cs-cv
29 Sept 2026
Safety

Inductive Feedback for Mixed-Policy Distillation

DGX agent

arXiv:2609.35390v1 Announce Type: new Abstract: Verbal feedback can identify errors and prescribe corrections, providing rich supervision for language-model post-training even when reliable programmat

safetyarxiv-cs-lg
29 Sept 2026
Agents

Inertia-Corrected Newton Method For Generalized Nash Equilibria in Dynamic Games with Optimality Verification

DGX agent

arXiv:2609.31929v1 Announce Type: new Abstract: Newton methods efficiently find Generalized Nash Equilibria (GNE) in dynamic games by solving for the KKT necessary conditions. These methods are fast a

agentsarxiv-cs-ro
29 Sept 2026
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